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  4. 3D flow reconstruction using ultrasound PIV
 
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3D flow reconstruction using ultrasound PIV
File(s)
art%3A10.1007%2Fs00348-009-0781-8.pdf (639.75 KB)
Published version
Author(s)
Poelma, C
Mari, JM
Foin, N
Tang, MX
Krams, R
more
Type
Journal Article
Abstract
Ultrasound particle image velocimetry (PIV)
can be used to obtain velocity fields in non-transparent geometries and/or fluids. In the current study, we use this technique to document the flow in a curved tube, using
ultrasound contrast bubbles as flow tracer particles. The performance of the technique is first tested in a straight tube, with both steady laminar and pulsatile flows. Both
experiments confirm that the technique is capable of reliable measurements. A number of adaptations are introduced that improve the accuracy and applicability of ultrasound PIV. Firstly, due to the method of ultrasound
image acquisition, a correction is required for the estimation of velocities from tracer displacements. This correction accounts for the fact that columns in the image are recorded at slightly different instances. The second improvement uses a slice-by-slice scanning approach to obtain three-dimensional velocity data. This approach is here demonstrated in a strongly curved tube. The resulting
flow profiles and wall shear stress distribution shows a distinct asymmetry. To meaningfully interpret these threedimensional
results, knowledge of the measurement thickness is required. Our third contribution is a method to determine this quantity, using the correlation peak heights. The latter method can also provide the third (out-of-plane) component if the measurement thickness is known, so that all three velocity components are available using a single probe.
Date Issued
2009-11-10
Date Acceptance
2009-10-22
Citation
Experiments in Fluids, 2009, 50 (4), pp.777-785
URI
http://hdl.handle.net/10044/1/27342
DOI
https://www.dx.doi.org/10.1007/s00348-009-0781-8
ISSN
1432-1114
Publisher
Springer
Start Page
777
End Page
785
Journal / Book Title
Experiments in Fluids
Volume
50
Issue
4
Copyright Statement
© The Author(s) 2009. This article is published with open access at Springerlink.com. This article is distributed under the terms of the
Creative Commons Attribution Noncommercial License which permits
any noncommercial use, distribution, and reproduction in any
medium, provided the original author(s) and source are credited.
License URL
http://creativecommons.org/licenses/by/4.0/
Publication Status
Published
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